Run: 2026-02-19-01KHTYJRERR53CCZTX1TB06MPR

Run Details

Duration:
1m 1s
Cost:
$0.149805

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The Raven's Nest hummed with its usual evening crowd, smoke and conversation threading through amber light. Aurora wiped down the mahogany bar top, her movements automatic after three months of shifts. The green neon from outside painted strange shadows across the bottles behind her. "Another pint of the bitter, love." A patron slid his empty glass across. She pulled the tap, watching foam crest over dark beer. The door chimed. Cold October air swept in, carrying the smell of rain and exhaust fumes. Aurora glanced up, then froze. The woman in the doorway wore a charcoal suit that cost more than Aurora made in two months. Designer heels clicked against worn floorboards. But beneath the corporate armor, beneath the sharp bob of honey-blonde hair, those green eyes remained unchanged. "Eva." The name escaped before Aurora could stop it. Three years dissolved like sugar in hot water. Eva's perfect composure cracked. "Rory? Christ, is that really you?" They stared across the bar's smoky expanse. Aurora became acutely aware of her faded jeans, the delivery company logo on her polo shirt, the beer foam on her hands. "Working here now?" Eva's voice carried forced brightness. "Something like that." Aurora finished pouring the bitter, slid it to the waiting patron. Her hands stayed steady. Small mercies. Eva approached the bar, each step measured. Up close, Aurora catalogued the changes. Fine lines around Eva's mouth. A hardness in her jaw that hadn't existed during their Cardiff days. The friendship bracelet they'd made at fifteen—gone. "I didn't know you'd moved to London." Eva perched on a barstool, handbag placed precisely on the bar. "About three months ago." Aurora grabbed a cloth, wiped down already-clean taps. Anything to keep her hands busy. "Three months." Eva's laugh held edges. "I work just round the corner. Mergers and acquisitions at Thornfield & Associates." Of course she did. Aurora remembered Eva at nineteen, passionate about environmental law, swearing she'd never sell out to corporate interests. Time made liars of everyone. "Congratulations." The word tasted like ash. "Thanks. And you're... tending bar?" "Among other things." Silas emerged from the back room, silver signet ring catching the light. He took in the scene with practiced ease—Aurora's rigid posture, Eva's designer everything, the crackling tension between them. "I'll handle things here," he said quietly. "Take your break." Aurora wanted to refuse, wanted the bar as a barrier between them. But Silas's expression brooked no argument. "Come on." She untied her apron. "We can talk in the back booth." They settled into cracked leather seats beneath a faded map of Prague. Eva's perfume—something expensive and unfamiliar—competed with decades of cigarette smoke embedded in the walls. "So." Eva traced patterns on the scarred table. "Last I heard, you were finishing your law degree." "Things change." "Your parents must be—" "Disappointed? Furious? Pick your adjective." Aurora signaled Silas for two whiskies. Dutch courage felt necessary. Eva's manicured nails drummed against wood. "You just vanished, Rory. One day you were there, the next—nothing. No forwarding address, no explanation." The whiskies arrived. Aurora took a burning sip before answering. "I needed to leave Cardiff." "Because of Evan?" The name hit like a slap. Aurora's hand moved unconsciously to her left wrist, thumb finding the crescent scar hidden beneath her watchband. "How did you—" "I ran into him last month. At a Law Society dinner." Eva's voice dropped. "He mentioned you'd had a 'disagreement.'" "That's one word for it." "Rory, what happened? We used to tell each other everything." Used to. Past tense carried its own violence. "You were in New York." Aurora kept her voice level. "That internship at the UN. Living your dream." "You could have called. Emailed. Something." "And said what? That I'd thrown away everything we'd planned because I was too stupid to see what Evan really was? That I was sleeping on park benches because I couldn't go home?" Eva's foundation couldn't hide the color draining from her face. "Park benches? Jesus, Rory." "Only for a week. Until I scraped together bus fare to London." "I would have helped. You know I would have." "Do I?" The whisky made Aurora reckless. "You were posting Instagram stories from Manhattan rooftops. Hashtag living my best life. What was I supposed to say? Help, I'm drowning while you're conquering the world?" "That's not fair." "Isn't it?" Aurora gestured at Eva's suit, her bag, the gold watch glinting on her wrist. "Look at you. Everything we said we'd be. And look at me." "You're alive." Eva's voice cracked. "That's all that matters." "Don't patronize me." "I'm not—" Eva stopped, composed herself. "I looked for you. After Evan told me you'd left. I called your parents." "I'm sure that went well." "Your father threatened to have me arrested for harassment." Despite everything, Aurora almost smiled. "Sounds like Dad." "He said you'd made your choices. That if you wanted to throw your life away, that was your business." "Also sounds like Dad." They sat in silence. The bar's noise washed over them—laughter, arguments, the clink of glass on glass. Life continuing its messy orbit while they sat frozen in their booth. "I kept thinking you'd reach out." Eva stared into her whisky. "Every birthday, every Christmas. I'd check my phone, thinking this time..." "Eva—" "No, let me finish." Tears threatened Eva's careful makeup. "I knew something was wrong. The way you'd gone quiet those last few months. The excuses about bruises. I knew, and I still left for New York." "I told you to go." "Since when do I listen to you?" The ghost of their old dynamic flickered between them. Aurora remembered seventeen, Eva talking her into sneaking out for underground poetry readings. Twenty-one, Eva defending Aurora's choice to study law even as her heart wasn't in it. Twenty-three, Eva bouncing with excitement about the internship while Aurora smiled and bled internally from wounds she couldn't name. "I'm glad you went." Aurora meant it. "One of us needed to make it out intact." "Did we? Make it out?" Eva gestured at herself. "Sixty-hour weeks. A Kensington flat I never see. My therapist says I'm married to my work because it can't leave me." "Eva—" "I've been in London two years. Two years, Rory. And this is where you've been? Ten minutes from my office?" "I didn't know you were here." "Would it have mattered?" Aurora couldn't answer that. Wouldn't. Eva pulled out her phone. "I'm programming my number. Use it or don't, but it's there." "I don't have a phone anymore." Eva's fingers stilled. "What?" "Evan liked to check it. Easier to just not have one." "Rory..." "Don't." Aurora drained her whisky. "I'm not that person anymore." "No." Eva studied her, those green eyes seeing too much. "You're not. Neither am I."
total_cost0.149805

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags23
adverbTagCount2
adverbTags
0"The word tasted like [like]"
1"he said quietly [quietly]"
dialogueSentences75
tagDensity0.307
leniency0.613
rawRatio0.087
effectiveRatio0.053
86.78% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1135
totalAiIsmAdverbs3
found
0
adverb"really"
count2
1
adverb"precisely"
count1
highlights
0"really"
1"precisely"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
80.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found
0"Thornfield"
64.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1135
totalAiIsms8
found
0
word"perfect"
count1
1
word"measured"
count1
2
word"practiced ease"
count1
3
word"tension"
count1
4
word"traced"
count1
5
word"glinting"
count1
6
word"silence"
count1
7
word"flickered"
count1
highlights
0"perfect"
1"measured"
2"practiced ease"
3"tension"
4"traced"
5"glinting"
6"silence"
7"flickered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences76
matches
0"g with excitement"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences76
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences128
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1124
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions61
wordCount613
uniqueNames12
maxNameDensity4.08
worstName"Eva"
maxWindowNameDensity7
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
October1
Aurora24
Eva25
Cardiff1
Silas3
Prague1
Dutch1
Used1
Despite1
Tears1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Eva"
4"Silas"
5"Tears"
places
0"Cardiff"
1"Prague"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1124
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences128
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs74
mean15.19
std11.67
cv0.769
sampleLengths
044
113
231
341
41
516
610
729
88
920
1037
1118
1218
1319
1426
156
165
173
1830
1910
2018
2113
2226
2317
242
254
2615
2722
2815
293
3023
313
3220
335
3410
358
3618
376
3833
3914
4012
419
4234
433
4428
459
463
4720
485
499
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences76
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs114
matches(empty)
53.57% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences128
ratio0.031
matches
0"The friendship bracelet they'd made at fifteen—gone."
1"He took in the scene with practiced ease—Aurora's rigid posture, Eva's designer everything, the crackling tension between them."
2"Eva's perfume—something expensive and unfamiliar—competed with decades of cigarette smoke embedded in the walls."
3"The bar's noise washed over them—laughter, arguments, the clink of glass on glass."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount622
adjectiveStacks1
stackExamples
0"outside painted strange shadows"
adverbCount14
adverbRatio0.022508038585209004
lyAdverbCount5
lyAdverbRatio0.008038585209003215
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences128
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences128
mean8.78
std5.85
cv0.666
sampleLengths
016
115
213
313
410
53
613
75
818
96
1017
111
128
138
144
156
167
1722
188
1914
204
212
227
236
245
2512
267
2718
2812
296
306
3113
324
3317
345
356
365
373
3812
3918
407
413
4212
436
446
457
4612
4714
488
499
79.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5078125
totalSentences128
uniqueOpeners65
45.66% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences73
matches
0"Of course she did."
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences73
matches
0"She pulled the tap, watching"
1"They stared across the bar's"
2"Her hands stayed steady."
3"He took in the scene"
4"he said quietly"
5"She untied her apron"
6"They settled into cracked leather"
7"They sat in silence."
ratio0.11
35.34% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences73
matches
0"The Raven's Nest hummed with"
1"Aurora wiped down the mahogany"
2"The green neon from outside"
3"A patron slid his empty"
4"She pulled the tap, watching"
5"The door chimed."
6"Aurora glanced up, then froze."
7"The woman in the doorway"
8"Designer heels clicked against worn"
9"The name escaped before Aurora"
10"Eva's perfect composure cracked."
11"They stared across the bar's"
12"Aurora became acutely aware of"
13"Eva's voice carried forced brightness"
14"Aurora finished pouring the bitter,"
15"Her hands stayed steady."
16"Eva approached the bar, each"
17"A hardness in her jaw"
18"The friendship bracelet they'd made"
19"Eva perched on a barstool,"
ratio0.849
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount1
matches
0"A hardness in her jaw that hadn't existed during their Cardiff days."
81.52% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags23
uselessAdditionCount2
matches
0"Aurora gestured, her bag, the gold watch glinting on her wrist"
1"Eva studied, those green eyes seeing too much"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"Tears threatened (tear)"
dialogueSentences75
tagDensity0.027
leniency0.053
rawRatio0.5
effectiveRatio0.027
84.0529%